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Data Coach
Looking to combine your passion for data with training and mentoring? This is an opportunity to help shape the next generation of data professionals while working across modern technologies including Data Engineering, AI, Cloud, and Analytics.

The Company
They specialise in developing and deploying data talent through a structured training and consulting model. With strong backing and continued growth, they are investing heavily in their learning capability, curriculum development, and technical expertise.

The Role

• Deliver technical training to graduate cohorts
• Create and improve learning content and curriculum
• Mentor and support learners throughout their development
• Run engaging workshops, projects, and technical sessions
• Contribute to training across Data Engineering, Cloud, AI, and Analytics
• Support capability building and continuous improvement initiatives

Your Skills & Experience

• Strong experience in Data Engineering, Data Science, or Analytics
• Experience teaching, coaching, training, or mentoring others
• Python and SQL expertise
• Knowledge of cloud platforms such as AWS, Azure, GCP, or Snowflake
• Understanding of AI, machine learning, or GenAI
• Exposure to DevOps and CI/CD practices
• Excellent communication and presentation skills

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Senior Forward Deployed Engineer
Washington, DC (Hybrid) $200,000 – $250,000 + Bonus + Equity
This is an opportunity to join a high-growth AI organisation solving complex real-world challenges through advanced machine learning and software engineering. You’ll work at the intersection of AI, infrastructure, and product delivery, taking ownership of critical systems that move rapidly from concept to production.

The Company
They are a venture-backed technology business focused on building and deploying next-generation AI solutions. Operating in a fast-paced and highly technical environment, they partner with sophisticated organisations to solve large-scale operational challenges using modern machine learning techniques. Their team is made up of experienced engineers, researchers, and product specialists working on some of the most exciting applications of AI today.

The Role
As a Senior Forward Deployed Engineer, you will lead the design, development, and deployment of production-grade AI systems. You will work closely with stakeholders to understand complex requirements and translate them into scalable, reliable solutions.
Key responsibilities include:

• Designing and deploying AI applications from prototype through to production
• Building LLM-powered products, agentic workflows, and retrieval-augmented systems
• Developing data pipelines, evaluation frameworks, and model improvement processes
• Designing infrastructure to support experimentation, inference, deployment, and monitoring
• Driving architectural decisions across business-critical projects
• Collaborating with technical and non-technical stakeholders to deliver impactful solutions
• Ensuring system reliability, scalability, security, and performance
• Providing technical leadership and mentoring engineers across the team

Your Skills & Experience

• Strong commercial software engineering experience delivering complex production systems
• Advanced Python development skills with a track record of technical ownership
• Experience building and deploying LLM, generative AI, or machine learning applications
• Strong understanding of data engineering, model evaluation, and scalable infrastructure
• Experience working with cloud platforms and distributed systems
• Ability to navigate ambiguity and solve challenging technical problems independently
• Excellent communication skills with the ability to engage a range of stakeholders
• Experience operating within highly regulated or technically demanding environments is advantageous

What They Offer

• Base salary of $200,000 – $250,000
• Performance-related bonus
• Equity participation programme
• Comprehensive healthcare support
• Retirement savings plan with employer contributions
• Generous paid time off
• Flexible hybrid working environment
• Exposure to cutting-edge AI and machine learning technologies
• Significant ownership, autonomy, and career progression opportunities

How to Apply
If you’re interested in building and deploying advanced AI systems at scale, please apply with your CV for a confidential discussion.

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SENIOR AI PRODUCT ENGINEER – AGENTIC SYSTEMS & PRODUCTION AI

BAY AREA (HYBRID / 3 DAYS IN OFFICE)

$160,000 – $225,900 (SENIOR) | $225,000 – $250,000 (SENIOR II) + EQUITY

The Opportunity

Join a high-growth team building production, autonomous AI systems for enterprise use.

This isn’t experimental AI-you’ll create real agentic products that take action, drive outcomes, and automate complex workflows end-to-end.

You’ll operate in a 0→1 environment with full ownership, shaping product direction, system architecture, and customer experience.

What You’ll Do

• Build AI agents that act autonomously across real workflows
• Develop end-to-end systems across LLMs, APIs, orchestration, and applications
• Own the full lifecycle: prompting, evaluation, debugging, and scaling
• Turn ambiguous problems into structured, production-ready solutions
• Partner with product to deliver outcomes, not just features
• Help define shared AI platform architecture
• Continuously improve systems through testing and iteration

What We’re Looking For

• 4-8 years as a backend or full-stack engineer
• Experience shipping production AI or agent-based systems
• Strong TypeScript skills
• Hands-on experience with LLMs in real products
• Solid foundation in system design and distributed systems
• Experience evaluating and improving AI performance
• High ownership mindset in fast-moving environments
• Ability to clearly explain technical decisions and tradeoffs

Nice to Have

• RAG experience
• LangChain, LangGraph, Bedrock, or similar tools
• Startup or 0→1 product experience
• Agent workflows or orchestration systems
• LLMOps or AI infrastructure experience

Why This Role

• Build real AI products, not prototypes
• Work on systems that take action and deliver outcomes
• High ownership from idea → scale
• Fast-paced, high-impact environment
• Direct influence on AI strategy and architecture
• Strong team + meaningful equity

If you’re excited about building AI that actually does things-not just talks about them, this is a rare opportunity to shape the future of how enterprise systems operate.

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Growth and Product Analytics Lead

London (Office-based – 5 days per week)

Salary: Up to £180,000 + Excellent Benefits

A high-growth technology business is looking for a Growth Analytics Lead to join, working directly with the CEO and senior leadership team to drive strategic, data-led decision making.

This is a rare opportunity for a commercially minded analytics leader to own the insights behind growth, product and go-to-market strategy. Rather than producing reports or dashboards, you’ll identify opportunities, build solutions, influence business decisions and measure their impact.

What you’ll be doing

• Own analytics across product, commercial and growth initiatives

• Identify opportunities to improve customer activation, adoption and retention

• Deliver insights on pricing, monetisation and expansion opportunities

• Design and analyse product experiments

• Build robust analytics using SQL, dbt and modern data platforms

• Translate complex data into clear recommendations for senior stakeholders

• Partner closely with leadership to shape company strategy

What we’re looking for

• Strong experience in Growth, Product or Commercial Analytics

• Hands-on technical skills with SQL and modern analytics tools

• Proven ability to influence commercial outcomes through data

• Experience within a high-growth SaaS or technology environment

• Excellent communication and stakeholder management skills

• Comfortable working autonomously in a fast-paced, ambiguous environment

What’s on offer

• Salary up to £180,000

• Comprehensive benefits package

• Direct exposure to the CEO and executive leadership

• Significant ownership and autonomy

• Opportunity to shape the growth strategy of a rapidly scaling technology business

If you’re a commercially focused analytics professional who enjoys solving complex business problems and wants to make a measurable impact in a high-growth environment, we’d love to hear from you.

Find out more and apply via the link below!

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AI Engineer

Amsterdam, Netherlands | Up to €78,000 + Benefits

This is an opportunity to join a well-established international organisation investing heavily in AI and machine learning. You’ll play a key role in building production-grade AI products that deliver real business impact, working on solutions that move from concept through to deployment and ongoing optimisation.

The Company

They are a large, global organisation with a strong focus on technology, digital transformation, and data-driven decision-making. With significant investment in AI, they are building scalable products that support both customer-facing and internal business use cases. The environment combines the stability and resources of a mature enterprise with the pace and innovation of a modern product team.

The Role

Design, build, and deploy AI and machine learning products into production
Develop scalable backend services and APIs using Python
Build AI applications leveraging LLMs, agent frameworks, and traditional machine learning techniques
Work closely with data, engineering, and business teams to translate requirements into production-ready solutions
Implement testing, monitoring, and evaluation frameworks to ensure reliability and performance
Support deployment, CI/CD, and operational best practices across the AI product lifecycle

Your Skills & Experience

Minimum 3 years of commercial experience in AI Engineering, Machine Learning Engineering, or a similar role
Strong experience building and deploying AI products into production environments
Hands-on experience with both traditional machine learning and modern AI/LLM technologies
Strong Python engineering skills and experience developing APIs and backend services
Experience working within larger, enterprise-scale organisations and navigating complex stakeholder environments
Exposure to cloud platforms, containerisation, and modern software engineering practices

What They Offer

Salary up to €78,000
Strong bonus and benefits package
Opportunity to work on high-impact AI products used at scale
Career progression within a growing Data & AI function
Collaborative, international team environment

How to Apply

If you’re an AI Engineer with experience delivering production-ready AI and machine learning solutions within larger organisations, apply today to learn more about this opportunity.

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Data Science Engineer
London 2-3 days

Join a newly established R&D function building data-driven and AI-enabled products. This is a hands-on role for someone who enjoys combining Data Science and Data Engineering to create scalable data solutions with real business impact.

The Company
They are investing heavily in data and AI, with a small multidisciplinary team focused on building analytical products from concept through to production. You’ll work in a collaborative environment with plenty of ownership and exposure to cutting-edge technologies.

The Role

• Build scalable data pipelines using Microsoft Fabric and Databricks
• Develop machine learning solutions across forecasting, anomaly detection, recommendation systems, and information extraction
• Work with structured, semi-structured, and document-heavy datasets
• Create reusable data assets and analytical products
• Contribute to testing, APIs, CI/CD, and production deployments
• Partner with stakeholders to solve business challenges through data

Your Skills & Experience

• Strong experience across both Data Science and Data Engineering
• Hands-on expertise with Microsoft Fabric and Databricks
• Advanced Python and SQL skills, with PySpark desirable
• Experience building data pipelines and machine learning models
• Knowledge of NLP, entity resolution, or document processing is advantageous
• Strong communication skills and commercial awareness

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Lead Data Engineer

Location: 100% Remote (U.S.)

A growing healthcare technology company is looking for a Lead Data Engineer to take on a hands-on technical leadership role within its data engineering organization. The company builds SaaS analytics and workflow solutions that help public-sector healthcare organizations make better use of complex data to improve operations, oversight, and outcomes.

This is an opportunity for an experienced data engineer who enjoys tackling complex, ambiguous problems while still staying close to the code. You’ll help shape data architecture and engineering practices, mentor other engineers, and build scalable capabilities that make customer data integrations increasingly automated, reliable, and repeatable.

What You’ll Do

• Lead complex data engineering initiatives from technical design through implementation, testing, and delivery.
• Design and build scalable ELT pipelines, data models, transformations, and reusable data-processing capabilities.
• Lead the onboarding and integration of complex, imperfect customer data from diverse sources.
• Build automated data profiling, validation, and quality-monitoring capabilities.
• Help modernize data architecture, tooling, workflows, and engineering practices to improve scalability, observability, performance, and maintainability.
• Evaluate new architectures and technologies, including opportunities to leverage AI-assisted tools and automation within data engineering workflows.
• Provide technical mentorship and help establish engineering standards, best practices, and architectural direction.
• Identify recurring customer data challenges and turn them into reusable backend services, frameworks, and product capabilities.
• Partner with technical and business stakeholders to communicate architectural decisions, tradeoffs, risks, and recommendations.
• Help develop data capability roadmaps and recommend technical investments and priorities.

What We’re Looking For

• 10+ years of relevant engineering experience with significant hands-on data engineering expertise.
• Strong technical leadership experience, including mentoring engineers, guiding architecture, and establishing engineering best practices.
• Experience managing and developing a small engineering team.
• Deep hands-on experience with SQL and Python.
• Strong experience designing and building scalable ELT pipelines, data models, and transformations.
• Experience with modern orchestration/transformation frameworks such as Airflow, Astronomer, Dagster, dbt, or Windmill.
• Experience working across relational, MPP, and file-based data architectures.
• Strong experience integrating complex or imperfect data and mapping it into standardized data models.
• Experience building automated data quality, profiling, validation, and monitoring capabilities.
• Experience designing and evolving scalable, reusable data platforms and leading significant architecture modernization efforts.
• Experience applying AI-assisted technologies to improve data engineering workflows, processing, quality, or developer productivity.
• Experience working with healthcare data.
• Strong communication skills and the ability to translate business requirements into thoughtful technical solutions.
• Must be legally authorized to work in the U.S. without employer sponsorship.

Nice to Have

• Experience developing technical or data capability roadmaps.
• Experience modernizing legacy relational architectures into file-based, distributed, or cloud-native architectures.
• Experience in a SaaS product environment, particularly where data engineering supports both customer implementations and reusable product capabilities.

Why Join?

This is a high-impact opportunity to influence not only the technical direction of a data engineering function, but also how data capabilities evolve into scalable products. You’ll have significant ownership over architecture and engineering practices while remaining hands-on with challenging data problems.

The company offers a comprehensive benefits package including medical, dental and vision coverage, 401(k) with company match, company-paid life and disability insurance, generous PTO, and a vacation travel stipend.

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ML Engineer
New York City or Remote. $200,000 to $240,000 base plus equity and benefits.
This is a rare opportunity to join a very early stage AI startup and take full ownership of building a critical machine learning system from the ground up. You will design and deliver the core training and remediation loop that ensures AI systems behave safely and reliably in production, giving you genuine 0 to 1 engineering scope with immediate impact.
The Company
They are an early stage AI business focused on improving the safety and reliability of AI systems in production environments. Their platform continuously tests AI applications, detects unsafe or unintended behaviour, and deploys targeted fixes. Operating at the intersection of machine learning, security, and infrastructure, they are tackling a rapidly growing challenge as organisations scale their use of AI. With a small, highly technical team, they offer close collaboration with leadership and significant ownership from day one.
The Role

• Build and own end to end training and remediation pipelines for AI systems, from signal detection through to deployment and monitoring
• Develop reinforcement learning and preference optimisation workflows, including approaches such as DPO and RLHF
• Translate behavioural issues into structured training data and deploy effective model improvements
• Create scalable evaluation and testing systems to ensure fixes perform reliably in production
• Work across multiple models and deployments, turning one off fixes into reusable tooling
• Improve system performance, reliability, and efficiency as the product evolves

Your Skills & Experience

• Strong commercial experience in machine learning engineering, with deep expertise in Python and PyTorch
• Proven ability to train, fine tune, and deploy models in production environments
• Hands on experience with reinforcement learning or preference optimisation techniques such as DPO, RLHF, or PPO
• Strong understanding of end to end ML pipelines, from data preparation through to monitoring
• High standards for code quality, architecture, and readability
• Comfortable operating in an early stage environment with ambiguity and ownership
• Experience designing evaluation systems or working on AI safety, trust, or security is beneficial

What They Offer

• Base salary between $200,000 and $240,000, with flexibility for the right candidate
• Meaningful early stage equity package
• Comprehensive benefits including healthcare, retirement, and generous holiday allowance
• The opportunity to build a core platform from scratch and shape technical direction
• Close collaboration with founders and engineering leadership

How to Apply
To find out more or apply for this ML Engineer role, please get in touch with your updated CV.

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QA Automation Engineer

UP TO £75,000

London/Hybrid

The Overview

This is an opportunity to join a growing technology business where quality engineering is a key part of product development. You’ll play a central role in building scalable test automation, reducing manual testing, and helping shape an AI-enabled approach to software quality within a modern engineering environment.

The Company

They are a fast-growing technology business developing a sophisticated digital platform that helps users make more informed financial decisions. Their engineering teams work in cross-functional squads, combining product, engineering, and quality expertise to deliver high-impact solutions. With a strong focus on innovation, they are investing heavily in automation, AI-enabled workflows, and engineering best practices.

The Role

You will be responsible for driving test automation across web applications, APIs, and backend services while helping improve the overall quality engineering strategy.

Responsibilities include:

• Designing, building, and maintaining automated testing frameworks
• Creating automated tests for web applications and API services
• Supporting quality assurance across frontend and backend systems
• Performing regression, functional, and smoke testing
• Collaborating closely with Product Managers, Developers, and QA colleagues to ensure solutions are testable and scalable
• Using AI tools to improve testing efficiency, accelerate development cycles, and reduce repetitive manual work
• Contributing to CI/CD processes and quality gates within the software delivery lifecycle
• Supporting the development of a robust automation architecture that can scale with platform growth
• Helping improve data quality validation and testing processes

Your Skills & Experience

• Strong commercial experience with Java or Kotlin
• Experience building automated testing solutions from scratch or significantly enhancing existing frameworks
• Strong API testing experience using tools such as Rest Assured, Postman, or similar
• Experience testing JSON and XML payloads
• UI automation experience with Selenium, Playwright, or comparable tools
• Understanding of software testing principles, automation frameworks, and quality engineering best practices
• Experience working with Jira and Agile delivery environments
• Knowledge of CI/CD pipelines and automated deployment processes
• Comfortable working across both frontend and backend systems
• Experience using AI tools within an engineering workflow
• Exposure to Claude and N8N is highly desirable
• Familiarity with SQL and data validation techniques

What They Offer

• Competitive salary
• Potential equity review following successful completion of probation
• 25 days annual leave with the option to carry over up to 5 days
• Hybrid working
• Work-from-home equipment provided on request
• Enhanced parental leave policies
• Study support and dedicated time for learning
• Salary sacrifice pension scheme
• Electric car scheme
• Cycle to Work scheme
• Workplace nursery scheme
• Gym benefit
• Mental health and wellbeing support
• Regular seasonal and team social events
• Opportunity to influence automation strategy and AI-enabled quality engineering practices
• Clear scope for professional growth within a scaling technology business

How to Apply

If you’re passionate about automation, modern QA practices, and AI-driven engineering, I’d love to hear from you. Apply with your latest CV to be considered.

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